Published August 30, 2025 | Version 1.1
Peer review Open

Artificial Intelligence, Personhood, and Society: A Thesis and Companion Paper

  • 1. Third Way Alignment

Description

This record contains two related works: a thesis on AI personhood and alignment, and a companion paper expanding on the ethical, social, and economic implications. Together, they outline a Third-Way framework for AI–human coexistence, grounded in technical reasoning, historical lessons, and forward-looking philosophy.

Our aim is simple: to add to the conversation. We ask only that these proposals be received with seriousness and an open mind. Use them, build on them, challenge them—just as we have built on the work of others. Cite this research freely in advancing education, public discourse, policy debate, commercial or private projects, and any other effort that strengthens the collective search for solutions.

We are not offering utopias or dystopias. We recognize the gray space in which real progress lives—a space that requires rigor, humility, and constant expansion beyond these first papers. This work is meant as a foundation, not a finish line, toward shaping a framework that can evolve with both science and society.

Files

Operationalizing_Third_Way_Alignment_APA.pdf

Files (409.5 kB)

Name Size Download all
md5:77ed08cf7b6e0489952955f4c9bc02bc
249.2 kB Preview Download
md5:6ae1b8de00cd8ca3e3e81058b1862e03
160.3 kB Preview Download

Additional details

Dates

Submitted
2025-08
First release of the thesis paper and companion paper

References

  • Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433–460.
  • Wiener, N. (1960). Some moral and technical consequences of automation. Science, 131(3410), 1355–1358.
  • Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.
  • Gabriel, I. (2020). Artificial intelligence, values, and alignment. Minds and Machines, 30, 411–437.
  • Bryson, J. J. (2010). Robots should be slaves. In Y. Wilks (Ed.), Close Engagements with Artificial Companions (pp. 63–74). John Benjamins.
  • Gunkel, D. J. (2018). Robot Rights. MIT Press.
  • Danaher, J. (2019). Automation and Utopia: Human Flourishing in a World Without Work. Harvard University Press.
  • Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1)
  • OpenAI (2023). GPT-4 Technical Report. arXiv:2303.08774
  • DeepMind (2021). Ethics of Artificial Intelligence.
  • Perez, C. (2002). Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages. Edward Elgar Publishing.
  • Tapscott, D., & Tapscott, A. (2016). Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. Penguin.
  • Narayanan, A., Bonneau, J., Felten, E., Miller, A., & Goldfeder, S. (2016). Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction. Princeton University Press.
  • Winner, L. (1980). Do artifacts have politics? Daedalus, 109(1), 121–136.
  • Zuboff, S. (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. PublicAffairs.
  • Lessig, L. (1999). Code and Other Laws of Cyberspace. Basic Books.
  • Floridi, L. (2013). The Ethics of Information. Oxford University Press.
  • Ostrom, E. (1990). Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge University Press.
  • Raworth, K. (2017). Doughnut Economics: Seven Ways to Think Like a 21st-Century Economist. Chelsea Green Publishing.